Triple

T19608608
Position Surface form Disambiguated ID Type / Status
Subject Jalandhar division E470669 entity
Predicate hasPart P35 FINISHED
Object Jalandhar district NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jalandhar district | Statement: [Jalandhar division, hasPart, Jalandhar district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalandhar district
Context triple: [Jalandhar division, hasPart, Jalandhar district]
  • A. Jalandhar district chosen
    Jalandhar district is an administrative region in the Indian state of Punjab, known as a major urban and industrial center within the Doaba region.
  • B. Ludhiana district
    Ludhiana district is a major industrial and agricultural district in the Indian state of Punjab, centered around the city of Ludhiana.
  • C. Gurdaspur district
    Gurdaspur district is an administrative region in the northern Indian state of Punjab, known for its agricultural landscape and strategic location near the India–Pakistan border.
  • D. Nawanshahr district
    Nawanshahr district is an administrative district in the Indian state of Punjab, known for its agricultural economy and location in the Doaba region.
  • E. Ferozepur district
    Ferozepur district is an administrative district in the Indian state of Punjab, known for its historical significance, agricultural economy, and location along the India–Pakistan border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c964fc8190bd1cb60f4b233eaa completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.